code: def style_transfer(
      self,
      images=None,
      paths=None,
      batch_size=1,
      output_dir="output",
      visualization=False,
  ):
      # 加载数据处理器
      processor = Processor(images, paths, output_dir, batch_size)
  
      # 模型预测
      outputs = self.model.predict(processor.input_datas)
  
      # 结果后处理
      results = processor.postprocess(outputs, visualization)
  
      # 返回结果
      return results
  
file_path: PaddleHub/modules/image/Image_gan/style_transfer/UGATIT_83w/module.py
imports: import os
  from paddlehub import Module
  from paddlehub.module.module import moduleinfo, serving
  from UGATIT_83w.model import Model
  from UGATIT_83w.processor import base64_to_cv2, cv2_to_base64, Processor
label_desc: Use image node_id 2 for calling the UGATIT_83w obj's underlying member method code with example usage: obj.style_transfer(images, paths, batch_size, output_dir, visualization) and returns: results